Artificial Intelligence (AI) applications are reaching the point where both organizations and governments must decide about creating policies regulating use and liability associated with using AI. Managers and politicians should debate what is permitted and what is encouraged in the development and use of Artificial Intelligence. There are many outstanding issues. For example, who is liable if an AI application's decision or recommendation in wrong? How and when should AI applications be tested and validated? How will people respond to AI applications? Recently, Google announced that its new virtual AI assistant called Duplex could make phone calls for you using a human like voice that sounded like a real person. This announcement was poorly received and sparked a "harsh backlash". Within a few days, Google had changed its policy and announced that its AI assistant would identify itself as a robot when making phone calls, cf., Escher and Lynley (2018), Welch (2018) and Vomiero (2018).

Power & Heavin (2018) argue "Digital disruption is accelerating. Implementing a successful digital transformation strategy requires that senior managers make trade-off decisions to reinvent a business. Equally important all decision makers must learn to ask the right questions, use data and computer support in decision making, and increase their knowledge and skills. Creating a data-centric culture and rewarding data-based decision making leads to successful digital transformation."

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